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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Introduction

Graphs serve a couple of important functions in data analysis. First, when exploring data, they can help us understand our data and the relationships in it.

But data analysis isn't all about wrangling data and crunching numbers. We must also communicate our findings and convey evidence for our arguments. Graphs serve an important role in succinctly communicating complex relationships. Although graphs can be unclear, confusing, or not too informative, well-made graphs can clarify concepts and relationships that are difficult to explain verbally.

Designing good, informative, and beautiful charts is difficult, and if you want to dive into that topic, and there's a lot of good information out there. Anything by Edward Tufte (http://www.edwardtufte.com/tufte/) is an excellent place to start, and his book, The Visual Display of Quantitative Information, is considered a classic in the field of data visualization design. To create charts and graphs, there are a number of options...

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